Sathish Panneer Selvam | Theoretical Advances | Best Scholar Award

Dr. Sathish Panneer Selvam | Theoretical Advances | Best Scholar Award

Assistant Professor at Gachon university | South Korea

Dr. Sathish Panneer Selvam is a dynamic Assistant Professor at Gachon University, South Korea, specializing in electrochemical biosensors, nanomaterials, and density functional theory (DFT). With a strong foundation in experimental chemistry and computational modeling, Dr. Selvam’s interdisciplinary research bridges the gap between biomedical diagnostics and renewable energy catalysis, contributing significantly to next-generation sensor technologies.

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🎓 Early Academic Pursuits

Dr. Selvam began his academic journey with a Master’s degree in Electrochemical Sensing and Water Splitting under Prof. Kyusik Yun, where he focused on DNA-based nanomaterials and self-assembled sensors. He pursued his PhD (2020–2024) under Prof. Sungbo Cho, contributing to sensor development for disease diagnostics and reaction mechanism analysis via DFT. This formative period laid the groundwork for his future breakthroughs in smart diagnostics.

💼 Professional Endeavors

Starting as a Quality Control Executive at Biocon Biopharmaceutical Ltd., Dr. Selvam transitioned seamlessly into academia. His current role as an Assistant Professor (2024–2025) at Gachon University involves leading advanced biosensing projects, such as cancer diagnostics, enzyme activity detection, and nanocomposite development. His hands-on expertise spans fabrication, characterization, and computational modeling.

🔬 Contributions and Research Focus

Dr. Selvam’s research is distinguished by its interdisciplinary depth and real-world relevance. He has designed single-atom catalyst biosensors for detecting pancreatic and breast cancer. Additionally, he has explored molecularly imprinted polymers for biomarker detection and utilized DFT and molecular dynamics to simulate reaction pathways. His development of triboelectric nanogenerators for self-powered bacterial detection reflects his ability to address critical challenges in medical diagnostics, environmental monitoring, and energy applications.

🌍 Impact and Influence

Dr. Selvam has authored 16+ peer-reviewed publications, many in high-impact journals such as Chemical Engineering Journal, Small Methods, and Biosensors and Bioelectronics, with impact factors ranging from 8 to 23. His contributions to cancer biosensing, H2 evolution, and COVID-19 detection have attracted international collaborations with researchers from UK, France, and India, solidifying his global influence.

📊 Academic Cites & Recognition

Dr. Selvam’s work is increasingly cited by peers in the fields of biosensors, nanotechnology, and theoretical chemistry. With several publications already gaining traction in the academic community, he is on track for significant citation growth and thought leadership in applied quantum chemistry and nanomedicine.

🧪 Research Skills

Dr. Selvam demonstrates a robust technical skill set that seamlessly bridges experimental techniques with computational modeling. He excels in electrochemical characterization using systems like Iviumstat, Biologics, and PARSTAT. His expertise in structural analysis includes SEM, TEM, XRD, EXAFS, and Raman spectroscopy. Additionally, he is proficient in High-Performance Liquid Chromatography (HPLC) and a variety of spectroscopic tools. On the theoretical side, he utilizes DFT simulations, molecular docking, and molecular dynamics, allowing for deep insights into complex reaction mechanisms.

🎓 Teaching Experience

As an Assistant Professor, Dr. Selvam is engaged in mentoring undergraduate and graduate students. He fosters a research-driven learning environment that encourages critical thinking, scientific writing, and interdisciplinary collaboration, essential for shaping future scientists.

🌟Patents

Dr. Selvam holds several patents, including the Chalcogenide Loaded Cobalt MOF for Patulin Mycotoxin Detection (KR Patent 10-2437215), an Electrochemical Biosensing Platform for Rheumatoid Arthritis Biomarker detection (KR Patent 10-2381031), and a Nanocomposite modified electrode for Etidronic acid detection (KR Patent 10-2475238), co-authored with Sungbo Cho and Kyusik Yun. These innovations demonstrate his expertise in biosensing, electrochemical platforms, and biomarker detection.

📘 Legacy and Future Contributions

Dr. Selvam has a strong portfolio of patents, a growing reputation in academic publishing, and a unique ability to synthesize experimental and computational insights. As a thought leader in smart biosensing and energy catalysis, his future contributions are expected to include the development of scalable diagnostic tools for global health, AI-integrated sensor platforms, and further exploration of quantum chemistry for bio-interfaces. His work promises significant advances in both healthcare and energy solutions.

Publications Top Notes

EXAFS and spectroscopic insights into Mn, Tc, and Re-doped phthalocyanines: A multifaceted DFT study of electronic and optical properties

  • Authors: Sathish Panneer Selvam, Zeeshan, Sungbo Cho
    Journal: Surfaces and Interfaces
    Year: 2025

Cerium single atom anchored silver selenide: A high-performance catalyst for hydrogen evolution reaction with ultra-low activation energy and enhanced stability

  • Authors: Sathish Panneer Selvam, Sungbo Cho
    Journal: Surfaces and Interfaces
    Year: 2024

Experimental insights and DFT analysis of metal-free DNA nanocatalyst with enhanced hydrogen evolution via phosphate-mediated proton acceptance

  • Authors: Sathish Panneer Selvam, Shanmugasundaram Kamalakannan, K. Rudharachari Maiyelvaganan, Muthuramalingam Prakash, Sivalingam Gopi, Hansa Mahajan, Kyusik Yun, Sungbo Cho
    Journal: International Journal of Hydrogen Energy
    Year: 2024

Highly Synergistic Co3+ and Pyridinic‐N‐Rich Bifunctional Electrocatalyst for Ultra‐Low Energy-Driven Effective Hydrogen Production and Urea Oxidation

  • Authors: Sathish Panneer Selvam, Sungbo Cho
    Journal: Advanced Sustainable Systems
    Year: 2022

Novel SeS2-loaded Co MOF with Au@PANI comprised electroanalytical molecularly imprinted polymer-based disposable sensor for patulin mycotoxin

  • Authors: Sathish Panneer Selvam
    Journal: Biosensors and Bioelectronics
    Year: 2021

 

Ali Zaoui | Computational Methods | Computational Science Excellence Award

Prof. Ali Zaoui | Computational Methods | Computational Science Excellence Award

Djillali Liabes University of SIDI BELI ABBES | Algeria

Ali Zaoui is a Professor and Team Leader at the Physics Computational Materials Laboratory at the University of Sidi Bel Abbes, Algeria. With a distinguished career spanning several decades, he has made significant contributions to the field of computational materials science. Zaoui holds a PhD in Material Sciences and has taught in various capacities, progressing from General Physics to Nanotechnology at the University of Sidi Bel Abbes.

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Early Academic Pursuits 🎓

Zaoui’s academic journey began with a B.Sc. in Physics from the University of Sidi Bel Abbes (1991-1996). He then pursued a M.Sc. in Solid State Physics (1998-2000), focusing on the electronic structure of BSb compounds using the FP-LAPW method. Zaoui continued his academic pursuit with a Ph.D. in Material Sciences (2000-2005), conducting groundbreaking research on TiCxN1−x, ZrxNb1−xC, and HfCxN1−x alloys through first-principles calculations. His early work established a foundation in ab-initio methods for studying the electronic structures of complex materials.

Professional Endeavors 🧑‍💼

Zaoui’s professional career includes roles as a Professor at the University of Sidi Bel Abbes, where he has been an influential faculty member since 2005. Additionally, he has held leadership roles, such as Team Leader and Director of various computational material science laboratories. His contributions extend beyond teaching, as he has also served in prominent positions such as Dean of the Faculty of Exact Sciences at the Djillali Liabes University and President of the Doctoral Formation Committee.

Contributions and Research Focus 🔬

Zaoui’s research focus spans a range of topics, with particular emphasis on computational physics, material science modeling, and condensed matter physics. His expertise lies in studying strongly correlated systems, magnetism, and superconductivity in atomic and condensed matter physics. His contributions in first-principles calculations have advanced the understanding of alloy properties, nanostructures, and electronic behaviors of various materials. Notable works include research on Hf3N4 and Zr3N4 compounds, as well as RE2Ni2Pb (R=Er, Ho), contributing to the advancement of material science through simulation and modeling techniques.

Impact and Influence 🌐

Zaoui’s impact in the field of computational material science is substantial, with significant influence in educating future generations of physicists. As a team leader, he has guided a range of research projects that continue to shape the field. His involvement in summer schools, conferences, and workshops on DFT, simulation methods, and materials modeling has contributed to international collaborations and the sharing of knowledge on an international scale. His research has shaped the academic landscape of materials science, particularly in Algeria and North Africa.

Academic Cites 📚

Zaoui’s academic works have gained significant recognition and have been cited in a wide array of material science journals. His research on Hf3N4 and Zr3N4 compounds, along with his contributions to optical properties of semiconductors and first-principles simulations, has been referenced widely in the scientific community. His work is highly regarded for its accuracy, innovation, and practical application in understanding the electronic structures of materials.

Research Skills 🧑‍🔬

Zaoui’s research is known for the depth of computational analysis and precision in applying first-principles calculations. He is highly skilled in using DFT, LDA+U methods, and ab-initio techniques to model complex material properties, from magnetism to superconductivity. His computational techniques allow for predictive modeling of material behaviors, an essential aspect in the development of new materials for various applications. Zaoui’s research is marked by his ability to bridge theory with practical outcomes, bringing computational insights into real-world scenarios.

Teaching Experience 📖

Zaoui has a rich and diverse teaching experience, spanning from general physics to specialized subjects like magnetism, thermodynamics, and nanotechnology. He has taught at both undergraduate and graduate levels, including at institutions like the Higher School of Computer Science of Sidi Bel Abbes. His teaching extends beyond the classroom, having led seminars, summer schools, and research conferences. His commitment to educating the next generation of physicists has made a lasting impact on the scientific community in Algeria.

Awards and Honors 🏆

While detailed awards are not listed in the provided information, Zaoui’s significant contributions to computational material science, his leadership in education, and his influential research undoubtedly position him for recognition in various academic circles. His leadership role in organizing scientific committees and overseeing doctoral training programs reflects his contribution to the academic excellence in material science.

Legacy and Future Contributions 🌱

Zaoui’s legacy is deeply rooted in his research, teaching, and leadership in computational materials science. His future contributions are expected to continue influencing the advancement of computational tools and material science innovations. With his focus on nanotechnology, superconductivity, and magnetism, Zaoui is well-positioned to make future breakthroughs in the understanding of next-generation materials. As his work continues to inspire the global research community, Zaoui’s legacy will likely shape the future of computational materials science and nanotechnology for many years to come.

Publications Top Notes

Impact of polymer binders on the aggregation modes of two-pieces CSH composites

  • Authors: J., Jia, Jiwei; A., Zaoui, Ali; W., Sekkal, Wassila
    Journal: Cement and Concrete Research, Year: 2025

Molecular modeling of clay minerals: A thirty-year journey and future perspectives

  • Authors: A., Zhou, Annan; J., Du, Jiapei; A., Zaoui, Ali; W., Sekkal, Wassila; M.S., Sahimi, Muhammad Syamim
    Journal: Coordination Chemistry Reviews, Year: 2025

Crystal structure and magnetic properties of lithium nitridoferrate: Density functional theory calculations

  • Authors: M.R., Aced, Mohammed Reda; N., Benayad, Nawel; F., Drief, F.; S., Kacimi, Salima; M., Djermouni, Mostefa
    Journal: Journal of Magnetism and Magnetic Materials, Year: 2025

Exploring superconducting signatures in high-pressure hydride compounds: An electronic-structure analysis

  • Authors: C., Mohammed Krarroubi; N., Benayad, Nawel; F., Benosman, Fayssal; S., Kacimi, Salima; A., Zaoui, Ali
    Journal: Physica C: Superconductivity and its Applications, Year: 2025

Influence of particle size distribution and normal pressure on railway ballast: A DEM approach

  • Authors: Z., Yan, Zhu; A., Zaoui, Ali; W., Sekkal, Wassila
    Journal: High-speed Railway, Year: 2025

Discrete-Element Method Study of the Effect of Ballast Layer Depth on the Performance of Railway Ballast Bed

  • Authors: Z., Yan, Zhu; A., Zaoui, Ali; W., Sekkal, Wassila
    Journal: International Journal of Geomechanics, Year: 2025